As you know, as the Internet began to enter our homes, the concept of “big data”, which has evolved and is constantly growing, has also become increasingly important. Even a branch of science has developed so that this data, which is of a size that cannot be managed with traditional database tools, can be analyzed: data science. If you want to get an idea of the uses of this science, you can find the first article of the data science series here. In this article we will talk about the use of data science in e-commerce. Enjoyable readings...
The place of data science in e-commerce. Events that unfold in seconds when customers jump from one product to another, from that site to this site. What you need to do in this case to garner their attention over yourself is to offer them a personalized experience. For that, you need to turn to big data. It is also possible with data science to analyze all this data that cannot be analyzed by human hands and, according to the result, to offer the user a special shopping experience.
Since a personalized experience is more likely to translate into a purchase decision, the user will make more internet purchases once they do so. Fortunately, there are some products that are professional and easy to use so that you can analyze this data. Efili is the new and powerful among them.
Efilli identifies where your customers are most interested in your site, how far they've progressed, and reports back to you in an easy-to-understand way. Moreover, it offers instant campaigns of the kind that you will determine according to the interests of your client. If you don't want to get lost in the mess of data science, click here and start taking advantage of its ephemeral privileges.
There are a lot more improvements you can make using data science. Some of them are as follows:
Dynamic and volatile price policy
a product you sell on your site may be on sale in dozens of places other than you. Analyzing big data and using the right information in the right place puts you ahead in a highly competitive environment. “Correct” information at this point means the pricing policies of competing companies, estimated product sales figures, regional sales rates and consumer buying habits. Of course, you can analyze such extensive data thanks to data science.
Customer service improvements
Talking about the products they have reviewed or purchased when responding to a customer who has contacted you, or even going further and communicating based on comments they have written about you on social media will make them feel special.
Supply chain management
with big data, you can track the products in the warehouse, determine the best-selling products. Your customers actually tell you a lot of things when they shop. You can set your price policy based on what your customers “tell” you and thus sell your products that are not interested or not sold.
You can also simplify your inventory management by predicting in advance how much your popular products will sell next term.
We have provided you with brief but useful information about the uses of big data in e-commerce and the benefits of data science. We welcome you to the efilli blog for more content like this. Subscribe to our newsletter right now so you don't miss any of them. See you in our other posts!
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